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Join the most comprehensive Embedded Systems course enhanced with AI integration and elevate your career. Master embedded programming, hardware design, and AI implementation with hands-on projects, expert guidance, and industry-recognized certification. Learn how AI transforms embedded systems development and deployment in real-world applications.
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Trending concepts:
TinyML, Edge Computing & Neural Networks on
microcontrollers
Learn from industry experts in Embedded AI
1:1 doubt resolution & mentorship support
Hands-on projects with real hardware for portfolio building
Industry-recognized course with placement assistance
Learn how AI tools like TensorFlow and PyTorch help build smarter embedded devices. Use these frameworks to add intelligence, perform data analysis, and make real-time decisions directly on hardware.
Explore how to run AI models on small devices without internet connection. Master TinyML techniques to build smart edge devices that make quick decisions locally for better performance.
Discover how AI and IoT work together to create intelligent connected systems. Build smart IoT applications that use AI to analyze data and make automatic decisions in real-time.
Program Highlights
Transform your embedded systems career by learning how AI enhances device intelligence and performance. From implementing neural networks on microcontrollers to building edge AI applications, this course equips you with cutting-edge skills. Over 16 weeks, you will work on five live embedded AI projects, build a professional portfolio, and receive comprehensive placement support.
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Tools & Technologies
The IoT Academy (Course Developer & Instructor) Industry Advisory Council featuring senior embedded engineers and AI researchers
E&ICT Academy IIT Guwahati
E&ICT Academy IIT Kanpur
IIT Jodhpur
E&ICT Academy IIT Roorkee
E&ICT Academy IIT Patna
IIT Bhilai
ASTU Guwahati
Himachal Pradesh University
RFRF Foundation
ABES College
MSIT College
IPEC College
Embedded systems are becoming smarter every day. AI integration is transforming everything from smart home devices to autonomous vehicles. This course helps you:
Stay ahead by mastering cutting-edge embedded AI technologies
Build intelligent devices that make autonomous decisions
Create energy-efficient AI solutions for battery-powered applications
Future-proof your career in the rapidly growing embedded AI market
Gain a strong foundation in Embedded Systems powered by AI through in-depth modules designed with the latest industry research and best practices.
Lab: Setting up Arduino/ESP32 or STM32 development board, “Hello World” LED blink.
Lab: GPIO programming, reading switches, driving LEDs.
Lab: Interface a temperature sensor + display output on serial monitor.
Lab: Work with external EEPROM, log sensor data.
Lab: Create multiple tasks with priorities on FreeRTOS.
Lab: GPIO programming on Raspberry Pi.
Lab: Send sensor data to MQTT broker using ESP32/STM32 + WiFi.
Lab: Implement a secure MQTT connection with TLS.
Lab: Set up an IoT gateway to forward sensor data to cloud.
Lab: Push IoT sensor data to ThingsBoard dashboard.
Lab: Build a real-time dashboard for temperature & humidity monitoring.
Lab: Deploy a simple ML model on MCU for gesture recognition.
Lab: Implement sleep/wake cycles to extend battery life.
Lab: Build a simple smart home setup (e.g., light automation with mobile app).
Lab: Collect sensor data for AI training.
Lab: Train a simple ML model on collected IoT data.
Lab: Deploy gesture recognition model on Arduino/ESP32.
Lab: Run face/object detection on Raspberry Pi.
Lab: Deploy anomaly detection model at IoT edge.
Lab: Train LSTM model on vibration dataset.
Lab: RL-based thermostat control simulation.
Lab: Build chatbot that queries IoT device data.
Transform your career with comprehensive embedded systems courses in Noida designed for
Embedded systems engineers seeking AI integration skills
Electronics engineers wanting to add intelligence to devices
Software developers interested in hardware programming with AI
IoT professionals looking to build smarter connected devices
Fresh graduates eager to enter the embedded AI industry
Build an AI-powered smart home automation system with voice recognition
Develop a predictive maintenance system for industrial equipment using sensor AI
Create an autonomous navigation system for small robots using computer vision
Design a smart agriculture monitoring system with AI-based crop health detection
Implement a real-time gesture recognition system using embedded machine learning
We collaborate with leading organizations to shape our curriculum and offer placement support:
Certification
Upon successful completion, you will receive the IoT Academy Embedded Systems with AI Integration Certificate, a mark of your ability to design and implement intelligent embedded systems solutions.
ScholarshipUpto 30% Off
Regular Fee₹45,999/-
Installment Option3 & 4 Months
Complete the online application form with your technical background details.
Take a short embedded systems and programming aptitude assessment.
Attend a 20-minute technical interview with our admissions team.
Receive enrollment confirmation and payment details.
Our learners’ voices speak louder than promises. These trusted testimonials highlight how The IoT Academy has empowered individuals to gain new skills, unlock opportunities, and achieve their dreams.
The IoT Academy's Embedded System course was a game-changer for me! The hands-on projects helped me understand complex concepts easily. I feel confident in my skills now and ready for a career in IoT!
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I loved the Embedded System certification course! The instructors were knowledgeable and supportive. The practical experience I gained was invaluable. I highly recommend this course to anyone looking to enter the IoT field!
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Completing the Embedded System course at The IoT Academy was an amazing experience. The curriculum was well-structured, and I learned so much. I now have the skills to pursue my dream job in technology!
Read more
The IoT Academy's Embedded System course was a game-changer for me! The hands-on projects helped me understand complex concepts easily. I feel confident in my skills now and ready for a career in IoT!
Read more
I loved the Embedded System certification course! The instructors were knowledgeable and supportive. The practical experience I gained was invaluable. I highly recommend this course to anyone looking to enter the IoT field!
Read more
Completing the Embedded System course at The IoT Academy was an amazing experience. The curriculum was well-structured, and I learned so much. I now have the skills to pursue my dream job in technology!
Read more
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Batch Get Up to 30%
Scholarship + FREE Demo Class
Early Bird Offer Ends 31st Dec 2025 - Don't Miss Out!
No, a technical background is not required. Our program is designed as one of the best data analytics courses for beginners, covering fundamentals through advanced concepts with hands-on support throughout your learning journey.
Yes, completing a embedded systems course can enhance your job prospects in embedded systems roles.
Embedded Systems roles can be suitable for freshers due to entry-level positions and the growing demand for Embedded Systems skills.
A Embedded Systems certification is a shorter, focused program, while a degree provides a broader education and takes more time than a certification course.
To become a Embedded Systems, typically, you need a bachelor's degree in a related field like statistics, mathematics, or computer science.
Embedded Systems focus on interpreting and visualizing data, while data scientists also create models and work with big data
Yes, you can transition to a Embedded Systems career from a different field through a relevant course and by demonstrating your skills.
The best Embedded Systems certification course with placement is offered by The IoT Academy. It is a 5-months certification program with a 100% job assistance
Companies like Google, Amazon, and Facebook are top choices for Embedded Systems due to their innovative data-driven environments and opportunities. However, Accenture, Microsoft, IBM, Deloitte, TCS (Tata Consultancy Services), Capgemini, and Mu Sigma have global reach and provide opportunities for career advancement.
Yes, TCS (Tata Consultancy Services) does hire freshers as Embedded Systems through their recruitment programs.
A junior Embedded Systems in India can expect an average salary of around 6 lakhs per annum.
After 5 years of experience, a Embedded Systems's maximum salary can range from 15-25 lakhs per annum, depending on skills, location, and the company.
Embedded Systems certification costs in India range from ₹28,000 to ₹50,000 depending upon the location.
Prerequisites often include a bachelor's degree, basic math and computer skills, and familiarity with data tools like Excel.
The IoT Academy Embedded Systems courses will take 3 to 5 months to complete and you will also get 100% placement assistance after completing the course.
Yes, The IoT Academy provides both offline and online Embedded Systems course with placement assistance. You can learn Embedded Systems from anywhere across the world.
You'll gain skills in data analysis, data visualization, statistical analysis, and proficiency in tools like Python and SQL during a Embedded Systems course.
The fees for the Embedded Systems course in Noida are 65,000 INR for a duration of 4 months. If you are interested in the Embedded Systems course that includes lessons on Generative AI Tools, the cost is 80,000 INR for 5 months. Discounts are also available based on the student's eligibility, early enrollment, or group registration criteria.
No, there is no additional cost besides the program fee. You do not have to pay extra to get a certificate and practical training.
To enroll in the Embedded Systems certification course, you have to pay only 500 INR as a token amount.
Yes, scholarships and EMI options are available for the course fees. You can avail of up to 30% discounts on pre-registration and other eligibility criteria. For EMI, students can opt for flexible installment plans to pay the fees over some time, making it easier to manage.
We accept multiple payment methods to make the process convenient for you. These include Cash payment, Internet Banking, Credit/Debit cards, and UPI Payments.
Refunds for course withdrawals are subject to our refund policy.
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